Your team can ship production AI in weeks, not quarters. Build, training and advisory for founders and product leaders building agentic workflows across healthcare, enterprise, and regulated industries.
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KiloClaude CodeCodexOpencodeGemini CLIKiloLearn Agentic Coding, Research, and Business workflows with Claude Code, Codex with top open-source and commercial models!
These aren't demos or weekend experiments. Each project below solves a real problem for real people, from cancer patients accessing psychosocial support to business owners building their brand for a fraction of consultancy fees. Healthcare, marketing, legal tech, AI research, social impact. The common thread: deep subject-matter expertise paired with harness-first architecture — production-grade execution that outlasts any single AI provider.
A build loop that no vendor can switch off. Provider-independent guardrails and workflows that build your software, run your research, and write your content — living in your repo as plain commands, not inside any one company's product. Switch tools, models, or vendors and the same six-step loop keeps running.
Four drafts. Zero hype. Per post. Drop a URL, describe an idea — get four ready-to-post drafts in different angles.
A grassroots-first campaign Claude/Codex plugin for anyone being outspent. It refuses the establishment playbook — content calendar, ad spend, influencer outreach — and treats earned trust as the real bottleneck, paid media as amplification on top of content that already works. Ships as a Claude Code plugin, portable to any agent harness.
The world's first brand building agentic harness platform that helps anyone build their brand through guided conversation. Your personalised AI mentor.
Medically controlled AI conversational platform deployed across 10 clinics in production. Fully compliant with healthcare regulations, handling real patient interactions daily while maintaining complete auditability.
Peer-reviewed AI assistant providing 24/7 emotional support to cancer patients and their families across Hungary since 2023. Developed with oncopsychologist Dr. Ágnes Riskó and published in Magyar Onkológia (PubMed PMID: 41819064) — validating that human-centred AI can complement clinical psychosocial care at scale.
Open-source marketplace of agent skills compatible with 40+ AI tools. Works with Claude Code, Claude.ai desktop and browser, Claude Cowork, OpenAI Codex, and more. Install production-ready skills for design, architecture, code review, and deployment directly into your AI workflow.
Bencium builds owned agentic workflows for teams that cannot afford AI theatre. The workflow lives in your stack, not inside someone else’s product. You keep it when the engagement ends.
Most AI engagements stall because the first conversation is free, so nobody is serious, and the last deliverable is a slide deck, so nothing ships. I do the opposite.
You pay a small amount to get a scoped roadmap. If the roadmap is worth building, we run a fixed-price sprint and you get a working workflow. Once it is live, a monthly retainer keeps it alive, safer, and more useful. Each step is small, paid, and proves the next one.
Everything else I have built, the healthcare assistants, the creative tools, the open-source harness, is proof that this works. It is not a menu. The menu has three items.
A paid diagnostic that turns curiosity into a scoped roadmap. We map where the work actually breaks, what is worth automating, and what it would take to build. You leave with a plan you could hand to anyone, including me.
A fixed-price sprint that produces a working agentic workflow or prototype, not a prototype of a prototype. It runs on your data, in your stack, and does a real job from day one.
A system stays useful only if someone keeps it alive. The retainer maintains, improves, trains, evaluates, and expands what we built. This is not vague consulting. It is a fixed list of work, every month, so your team keeps the leverage without the overhead.
The cheap door is for individuals and founders testing the water. The serious door is for teams ready to scope a build. Both lead to the same architect.
A focused, low-risk way to get a real answer to a real question. For people deciding whether agentic AI is worth their time at all.
Senior time, applied to your actual workflow. We leave with a roadmap, not a vibe. This is the front door to the Build Sprint.
Book the diagnosticThis is how a small team does what used to take a department.
The biggest shift in human history doesn't belong on your IT department's desk. It belongs on yours, where strategy meets execution. AI adoption isn't a technical project; it's a leadership decision.
Three years ago, I started building AI systems the way I thought everyone would build them: fast, minimal dependencies, straight to users. Then I looked around. Enterprise teams were still writing governance frameworks. Consultancies were still delivering PowerPoints. Offshore teams were still treating AI like another software project.
They're not slow because they lack expertise. They're slow because their structures make speed impossible.
So I keep building. Each project teaches me what theory cannot: what actually works, what doesn't, and why small teams have leverage right now, before that window closes.
AI is the fastest-adopted economically significant technology in human history. When a billion people hold this kind of power, everything changes at once. Education, work, communication, entire industries – already shifting. Much more coming.
This site is for founders who'd rather build than wait for certainty.
We are in Anthropic's Early Access Programme — shaping Claude products so frontier AI lands with non-technical teams.
Teaching a live O'Reilly course on extending AI coding assistants. The SKILL.md standard is supported by 40+ tools - not just for development, but writing, legal, marketing, and science.
Register →Successful inauguration workshop and live build with an amazing team at Canary Wharf. 9 intensive hours, non-stop. The series is continuing.
Get notified →171,129 lines of code. 773 files created. 179 late-night sessions past midnight. 2,600 prompts. Claude Code as my co-founder, building regulated-market AI products at a pace that would make most dev teams nervous.
Automation cliff. AI agents handle knowledge work at scale. Companies that move now capture the advantage.
Physical automation follows. What started in software extends into the physical world.
Artificial superintelligence. The questions shift from "can AI do this?" to "what should AI do?"
Policy catches up. By then, the early movers have already reshaped their industries.
The companies that understand this timeline are moving now, not waiting for certainty.
Repositories. I learn by shipping, across healthcare, property, brand education, social monitoring. Real products, real users, real patterns.
Deep collaboration with AI. I see multi-agent orchestration where others see chatbots, and I think about what this means for work, economics, and society.
From concept to working product. Speed compounds; every week of building is learning that accumulates.
These aren’t abstract opinions; they’re patterns I’ve observed building across industries. This is the foundation for how I think about AI and business.
This isn’t a technology upgrade to delegate. It’s a fundamental shift in leverage that belongs on the founder’s desk. Understanding it yourself changes how you see every decision.
Every week you’re learning and building is a week your knowledge compounds. Waiting for certainty means falling behind those who are figuring it out in motion.
Right now, a small team that moves fast can do what used to require departments. This window exists because the technology is new and the playbooks haven’t been written.
What did you ship this week? Who’s using it? These questions matter more than roadmaps and governance frameworks. Results teach faster than planning.
In regulated industries, auditability and governance aren’t afterthoughts. They’re built in from day one. Every AI system I build has logging, fallbacks, and human oversight baked in.
Post-labour economics, AGI control, the nature of intelligence itself; these aren’t distractions from building. They’re context for why this moment matters so much.
“I’m looking for founders and leaders who sense this shift and want to understand it, both the opportunity and the deeper implications.”
These aren’t marketing channels. They’re distribution points for a belief system. Join the founders, leaders, and non-technical stakeholders who want to understand what’s actually happening with AI adoption, and why it matters.
Practical AI insights for builders and leaders. No fluff, no hype; just patterns from the frontline.
Subscribe →Technical explorations of multi-agent systems, orchestration patterns, and what I’m building now.
Watch →The London chapter of the global Agentics community. Practitioners sharing what’s working, and what isn’t.
Join us →Intensive sessions for teams ready to move from talking about AI to actually building with it.
Learn more →The newsletter is where I share patterns, provocations, and what I’m learning from building. It’s free, and you can leave anytime.